Accelerator - Data & AI Engineering - Paris

Sanofi Groupe
Paris, France
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, French

Job location

Paris, France

Tech stack

Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Cloud Computing
Continuous Integration
Information Engineering
ETL
Data Transformation
Data Warehousing
Software Design Patterns
Github
Monitoring of Systems
Python
Machine Learning
Openshift
SQL Databases
Datadog
Data Logging
Data Processing
Data Ingestion
Snowflake
Grafana
GIT
Containerization
Kubernetes
Information Technology
Terraform
Software Version Control
Data Pipelines
GXP
Docker

Job description

Design and implement end-to-end data pipelines that transform raw data into valuable insights, ensuring scalability and reliability in cloud environments Develop and optimize data models with a focus on query performance and efficient workloads Collaborate with cross-functional teams to translate business requirements into technical solutions, defining clear interface contracts between data products and applications Ensure data quality, standardization, observability, and governance across systems, aligning with industry compliance standards and data privacy requirements Automate data ingestion processes and monitoring systems to track operational KPIs, troubleshoot issues, and maintain pipeline health Build and maintain ETL processes and machine learning workflows, providing clean AI-ready data for downstream applications Actively contribute to transversal data engineering best practices, including design patterns, CI/CD integrations, containerized deployments, and participate in peer review of code and technical documentation

You are a dynamic Data & AI Engineer interested in challenging the status quo to ensure the seamless creation and operation of the data pipelines that are needed for the enterprise data and analytics initiatives following industry standard practices and tools for the betterment of our global patients and customers.

You are a valued influencer and leader who has contributed to making key datasets available to data scientists, analysts, and consumers throughout the enterprise to meet vital business use needs. You have a keen eye for improvement opportunities while continuing to fully comply with all data quality, security, and governance standards.

Requirements

Experience

Proven track record in designing and implementing data pipelines and data warehouse solutions in cloud environments Hands-on experience with data modeling, ETL/ELT processes, and pipeline orchestration in production settings Experience working in cross-functional teams, translating business needs into technical solutions Experience working within compliance (e.g.: quality, regulatory, data privacy, GxP) and cybersecurity requirements Experience in the healthcare industry is a strong plus

Soft Skills

Collaborative mindset with strong problem-solving abilities Self-motivated and able to take initiative in a fast-paced environment Effective communication skills to work with both technical and business stakeholders

Technical Skills

Strong proficiency in SQL and data warehousing platforms (Snowflake preferred) Hands-on experience with ETL tools (IICS or equivalent), data transformation tools (dbt preferred), and Python for data processing Strong experience with cloud platforms (AWS preferred) including orchestration frameworks (Airflow preferred) Advanced knowledge of CI/CD practices (GitHub Actions preferred), version control (Git), and infrastructure as code principles (Terraform preferred) Experience in designing and implementing engineering patterns and technical standards Good knowledge of logging and monitoring tools such as Datadog, Grafana Familiarity with containerization (Docker) and container orchestration (Kubernetes/Openshift a plus) Possessing relevant cloud certifications (AWS, Snowflake, IICS) is a plus

Education

Master's Degree or equivalent in Computer Science, Engineering, or relevant field

Languages

English, French

About the company

We are a global biopharmaceutical company focused on human health. Our purpose is to find treatment to fight pain and ease suffering. We combine breakthrough science and advanced technology to develop life-changing medicines and vaccines. Digital & Data is at the heart of Sanofi. Our ambition is to be the leading digital healthcare platform to develop and deliver medicine faster, enable healthcare professionals to improve treatments, and help patients improve their health. Our scale, strong connections within health ecosystems across the world, and ability to leverage Sanofi's capabilities make us the best place to push the boundaries of medicine through technology. We are building Digital R&D products developing outstanding capabilities that will participate in new drug discovery together with scientists, in trial efficiency and cycle time reduction, leveraging Data Analytics and Artificial Intelligence., We provide a highly collaborative environment, with an opportunity to work with a world class team. Contribute to a company that is not only a leader in healthcare but also a pioneer in digital transformation, shaping the future of global health. Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave. Play an instrumental part in creating best practice within our manufacturing facility.

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